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Enregistrement W2091319567 · doi:10.1046/j.1420-9101.2001.0288e.x

Of unimpeachable character

2001· article· en· W2091319567 sur OpenAlexaff
Bernard J. Crespi

Notice bibliographique

RevueJournal of Evolutionary Biology · 2001
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueEvolution and Science Education
Établissements canadiensSimon Fraser University
Organismes subventionnairesnon disponible
Mots-clésReductionismBiologyCharacter (mathematics)Set (abstract data type)EpistemologyCognitive scienceEvolutionary biologyComputer sciencePhilosophyPsychology

Résumé

récupéré en direct d'OpenAlex

The Character Concept in Evolutionary Biology. Edited By Günter P. Wagner. Academic Press. 2001. 622 pp. ISBN 0 12 730055 4 (hardcover). When teaching evolutionary biology to my undergraduates, I display an overhead page comprising a dozen different species concepts, each to them more arcane and confusing than the last. After their fear of having to memorize them all has been dispelled, comes the inevitable question of which is correct, best or generally agreed upon. They are not happy to hear that there is no answer – what, after all, will they write on the exam? From the resultant wreckage of Mayr and colleagues I seek then to instill in them the idea that biological concepts, like other words, are tools with different uses for different problems, and usefulness for gaining novel insight as the main criterion for adoption. This book is the ultimate in tool kits, and instruction guides, to a concept even more diverse, simple yet profound than species: the concept of the character. Characters pervade all areas of evolutionary biology, from DNA to behaviour. They result from the human predilection to parse complex, integrated systems into a more or less tidy set of components, from behaviour, to linear measurements of morphology, to organ systems, tissues, cells, metabolism, proteins, RNA, DNA, and perhaps beyond to biochemicals, atoms and quarks. The tension between such extreme reductionism and a radical wholism that denies biological deconstruction, due to the obvious integration that defines organisms themselves, forms the core of this book. As for the species concepts above, there are no answers, only ideas, and this book is rich with them almost to a fault. The Character Concept in Evolutionary Biology comprises 25 chapters divided into five main parts: history, new approaches to the character concept, operational character detection, the mechanistic nature of characters and evolutionary character origin. Within this framework, we find chapters that describe and define the character concept with methods including history and philosophy of science, biomathematics, developmental biology, functional morphology, molecular and quantitative genetics, optimality theory, systematics, palaeontology and phylogenetics. The level of scholarship is extraordinarily high, and all evolutionary biologists are likely to find at least several chapters to pique their interest. From Aristotle to butterfly eyespots, from genomics to limb buds, this book is inexorably integrative, and herein lies its main strength – by drawing from highly disparate disciplines, it should inspire us to consider with a fresh eye, and perhaps assemble and dissemble with new tools, the ‘characters’ that we each continually parse, analyse and discuss. But be warned – such inspiration will come at a cost: much of this book is heavy, dense reading, deeply imbued with specialist terminology, abstract argument and philosophy that to an empiricist and skeptic like myself sometimes borders on mysticism or psychology. For the brave professor, this book could serve as the basis for an ambitious graduate course in integrative evolutionary biology, though for most, it will provide insights mainly from the subset of chapters within or tangential to their own discipline, or in disciplines they are looking to explore. Like my undergraduates learning about species concepts, I came away from this book a bit bewildered, with a flurry of incompatible concepts swimming in my brain, and as yet unsure what I had learned. But perhaps most importantly, I was aware of new questions and approaches that spring from close scrutiny of the character concept, and from stepping back to see how it applies at all levels of biological organization. Speaking of plant parts, Goethe once remarked ‘alles ist Blatt’ (all is leaf), as he, like the romantic poets, sought unity in all creation. This book helps us seek unity and integration though a concept: ‘alles ist Charakter’, the natural units of life.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,054
Score d'incertitude au seuil0,181

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,006
Communication savante0,0040,006
Science ouverte0,0010,003
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0540,015

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,045
Tête enseignante GPT0,273
Écart entre enseignants0,228 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2001
Routes d'admission1
Résumé présentoui

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